| Title |
A systematic review of empirical and normative decision analysis of sustainability-related supplier risk management |
| ID_Doc |
76571 |
| Authors |
da Silva, EM; Ramos, MO; Alexander, A; Jabbour, CJC |
| Title |
A systematic review of empirical and normative decision analysis of sustainability-related supplier risk management |
| Year |
2020 |
| Published |
|
| DOI |
10.1016/j.jclepro.2019.118808 |
| Abstract |
This article conducts a literature review that finds three dominant topics; supplier selection, supplier development and supplier evaluation for sustainability-related supplier risk management (SSRM). It also brings together rationalist decision models with behavioral models. The main contributions and discoveries of our review are: (a) we propose a four stage typology combining a number of decision making frameworksapplied for the first time to understanding SSRM; (b) we found that multi-criteria decision models (MCDM) as the most prevalent, but with an increasing use of fuzzy heuristics; (c) a significant quantity of articles had an approach on sustainability risk centered on ethical business conduct issues, and corporate social responsibility (CSR) is employed can be considered an emerging topic. We therefore propose a future research agenda targeted at enriching a prescriptive decision analysis where both ramifications - rationalist and behavioral - are blended to encapsulate both psychological and political sources of behavioral bias and distortion, in order to better define the complex contexts of and ambiguities in problem formulation in rationalist models. (C) 2019 Elsevier Ltd. All rights reserved. |
| Author Keywords |
Sustainable supply chain; Decision making; Behavioral; Risk management; Analytical model; Supplier selection |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED); Social Science Citation Index (SSCI) |
| EID |
WOS:000503172600036 |
| WoS Category |
Green & Sustainable Science & Technology; Engineering, Environmental; Environmental Sciences |
| Research Area |
Science & Technology - Other Topics; Engineering; Environmental Sciences & Ecology |
| PDF |
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